Data Developer, Data/AI/ML

Priceline • Toronto, ON

1d • Hybrid

About The Position

Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs of our customers. If you thrive in a fast-paced, ideas-led environment, you’re in the right place. As a Data Developer in the Product Operating Model (POM), your focus is on building and maintaining reliable, scalable, and high-performing data pipelines that deliver trusted data for analytics and product initiatives. You are accountable for designing, developing, and optimizing data ingestion, transformation, and validation processes, while collaborating closely with Data Architects, Product Managers, and other stakeholders to ensure data solutions meet business and product requirements.

Requirements

• Bachelor’s degree in Computer Science or a related field
• 3–5 years of hands-on experience building and maintaining data pipelines and architectures in a corporate or product-driven environment.
• Hands-on ML experience in production
• Proficient with SQL and modern data tools (e.g., Spark, Airflow, Snowflake, dbt)
• Demonstrated expertise in Big Data solutions, including frameworks such as ApacheSpark and Kafka.
• Proficiency in the Google Cloud Platform (GCP) stack is highly desirable.
• Strong command of databases, including CloudSQL (MySQL, PostgreSQL), BigQuery, and Oracle.
• Familiar with data governance, security protocols, and compliance best practices
• Proficiency in data orchestration frameworks, particularly Apache Airflow, for scheduling and managing complex workflows.
• Proven ability to analyze, debug, and resolve data processing issues efficiently.
• Proficient in Java or Python, with the ability to write efficient, maintainable code in either language.
• Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability and Trust

Responsibilities

• Build and optimize data pipelines for ingestion, transformation, and validation
• Assist with CI/CD practices to automate pipeline deployment and monitoring
• Develop and maintain data validation and quality assurance tests to ensure reliable outputs
• Work in tandem with Data Architects to align on data architecture requirements
• Build and maintain data models that support analytics, reporting, and product features
• Define solution parameters for data preparation, integration, and storage
• Partner with Product Managers, Analysts, and Engineering teams to understand data requirements
• Facilitate communication between data, product, and development teams to ensure alignment
• Provide guidance on best practices for data management and pipeline design
• Identify opportunities to improve pipeline performance, reliability, and maintainability
• Evaluate and implement new data tools, technologies, and frameworks
• Share knowledge and mentor team members on data engineering practices
• Monitor and report on data pipeline performance, failures, and data quality issues
• Ensure transparency of data availability, integrity, and lineage for stakeholders
• Support release readiness by validating that data pipelines deliver accurate and timely data

Benefits

• Health & wellness coverage including medical, dental, vision, and mental health resources
• Generous time off including PTO, holidays, a company-wide Priceline Pause reset week, and paid volunteer days
• Work/life support including the ability to work up to 4 weeks per year from anywhere, parental leave, dependent care and family support resources, Summer Fridays, and office perks like stocked kitchens and catered meals (varies by location)
• Financial security programs such as retirement plans with company contributions, life and disability coverage, and tax-advantaged accounts
• Signature travel perks including employee-only discounts on hotels and flights, VIP deals, and Big Deal Bucks credits
• Additional perks & discounts like travel and partner discounts, tuition support, legal support, and pet benefits
• A people-first culture with Employee Resource Groups (ERGs), social events, recognition programs, and service awards that help you connect, grow, and celebrate together

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level